PhD in Explainability and Humans in the Loop in Optimization Processes

Introduction

Are you passionate about human-centric AI and explainable decision-making? Are you intrigued by the role of human expertise in complex optimization? This PhD position focuses on bringing humans into the loop of optimization processes, with the goal of improving decision quality and transparency through explainable AI. Youll investigate how domain knowledge from human decision-makers can be formalized and effectively integrated into different stages of optimization, both as priors and as feedback after optimization outcomes.

Job Description

This PhD project is a part of the CoRDS project Confident Data-Driven Decision Support (). CoRDS is a large-scale Doctoral Network, funded by the European Union under the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks programme Grant Agreement No. 101227512. It brings together 8 European universities and 14 societal partners in an ambitious interdisciplinary collabor...